Senior Data Scientist

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £60000 - £83000.00 per annum + + Excellent Pension

  • Contact:

    Luke Byrne

  • Contact email:

  • Job ref:


  • Published:

    about 1 year ago

  • Expiry date:


  • Start date:


Senior Data Scientist
£60,000 - £83,000 + Excellent Pension!
Central London
Data / Data Science / SQL / Python
Working for a Government funded regulatory body who are using cutting edge data focused technology, the successful candidate will have the opportunity to work in a well funded and talented Data Services team.
As the Senior Data Scientist you will apply algorithmic, statistical and algebraic techniques to gain advanced insight from data. You will advise the design of data pipelines, partake in data exploration and work to automate analytical methods. You will be delivering innovative data-insight and advising on marketplace activity in data science, the opportunities that data opens to innovation and delivering better outcomes to Energy consumers..

  • Partner with energy regulation Subject Matter Experts, internal policy workers and workers out in the marketplace and across government to identify data-intense issues for consumers
  • Develop data models that integrate data together to enable procedural and statistical approaches for insights to be established.
  • Partner with Data Business Analysts and Data Engineers to deliver your models and apply your advanced analytical approaches to generate otherwise inaccessible insight

· Ensure principles of privacy and security are assessed and designed into data solutions
· Peer review the analytical approaches of colleagues, assuring robust work is carried out
· Assure that your work and the work of colleagues meets governing standards

Skills / Abilities:

  • Strong communication and partnering skills:
    • Extensive experience work in collaborative team environment
    • Keen sense of camaraderie and a willingness to tailor engagement approaches
    • Willingness to expand your network of contacts to enable innovative work
  • The willingness to develop relationships and collaboratively build innovative approaches to generating insight from data
  • Trained to an advanced level in a scientific of applied statistics discipline. PhD level training (or equivalent experience) is expected
  • Demonstrable experience applying statistical techniques to large and complex data
  • Advanced data analysis, synthesis and data modelling skills
  • Skilled with software languages such as SQL and Python, other languages may be suitable
  • An enquiring mind that investigates the fundamentals
  • The desire to continuously innovate and bring about improvements to best practice, whether applied directly to technology or to best practice with regulatory data
    • A positive attitude that is willing to ensure knowledge retention and transfer
  • A flexible approach to working, with the ability to work on multiple strands of work and be responsive to challenging and ever evolving deadlines